% File src/library/stats/man/SSmicmen.Rd % Part of the R package, http://www.R-project.org % Copyright 1995-2010 R Core Team % Distributed under GPL 2 or later \name{SSmicmen} \encoding{UTF-8} \title{Self-Starting Nls Michaelis-Menten Model} \usage{ SSmicmen(input, Vm, K) } \alias{SSmicmen} \arguments{ \item{input}{a numeric vector of values at which to evaluate the model.} \item{Vm}{a numeric parameter representing the maximum value of the response.} \item{K}{a numeric parameter representing the \code{input} value at which half the maximum response is attained. In the field of enzyme kinetics this is called the Michaelis parameter.} } \description{ This \code{selfStart} model evaluates the Michaelis-Menten model and its gradient. It has an \code{initial} attribute that will evaluate initial estimates of the parameters \code{Vm} and \code{K} } \value{ a numeric vector of the same length as \code{input}. It is the value of the expression \code{Vm*input/(K+input)}. If both the arguments \code{Vm} and \code{K} are names of objects, the gradient matrix with respect to these names is attached as an attribute named \code{gradient}. } \author{\enc{José}{Jose} Pinheiro and Douglas Bates} \seealso{\code{\link{nls}}, \code{\link{selfStart}} } \examples{ PurTrt <- Puromycin[ Puromycin$state == "treated", ] SSmicmen(PurTrt$conc, 200, 0.05) # response only Vm <- 200; K <- 0.05 SSmicmen(PurTrt$conc, Vm, K) # response and gradient print(getInitial(rate ~ SSmicmen(conc, Vm, K), data = PurTrt), digits = 3) ## Initial values are in fact the converged values fm1 <- nls(rate ~ SSmicmen(conc, Vm, K), data = PurTrt) summary(fm1) ## Alternative call using the subset argument fm2 <- nls(rate ~ SSmicmen(conc, Vm, K), data = Puromycin, subset = state == "treated") summary(fm2) \dontshow{ require(graphics) xx <- seq(0, 5, len = 101) yy <- 5 * xx/(1+xx) par(mar = c(0, 0, 3.5, 0)) plot(xx, yy, type = "l", axes = FALSE, ylim = c(0,6), xlim = c(-1, 5), xlab = "", ylab = "", lwd = 2, main = "Parameters in the SSmicmen model") usr <- par("usr") arrows(usr[1], 0, usr[2], 0, length = 0.1, angle = 25) arrows(0, usr[3], 0, usr[4], length = 0.1, angle = 25) text(usr[2] - 0.2, 0.1, "x", adj = c(1, 0)) text(-0.1, usr[4], "y", adj = c(1, 1)) abline(h = 5, lty = 2, lwd = 0) arrows(-0.8, 2.1, -0.8, 0, length = 0.1, angle = 25) arrows(-0.8, 2.9, -0.8, 5, length = 0.1, angle = 25) text(-0.8, 2.5, expression(phi[1]), adj = c(0.5, 0.5)) segments(1, 0, 1, 2.7, lty = 2, lwd = 0.75) text(1, 2.7, expression(phi[2]), adj = c(0.5, 0)) } } \keyword{models}